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Found 14 papers, 2 papers with code
Towards Mode Balancing of Generative Models via Diversity Weights
Large data-driven image models are extensively used to support creative and artistic work.
"An Adapt-or-Die Type of Situation": Perception, Adoption, and Use of Text-To-Image-Generation AI by Game Industry Professionals
Text-to-image generation (TTIG) models, a recent addition to creative AI, can generate images based on a text description.
Personalized Game Difficulty Prediction Using Factorization Machines
The accurate and personalized estimation of task difficulty provides many opportunities for optimizing user experience.
Cine-AI: Generating Video Game Cutscenes in the Style of Human Directors
Cutscenes form an integral part of many video games, but their creation is costly, time-consuming, and requires skills that many game developers lack.
How Does Embodiment Affect the Human Perception of Computational Creativity? An Experimental Study Framework
Which factors influence the human assessment of creativity exhibited by a computational system is a core question of computational creativity (CC) research.
Predicting Game Engagement and Difficulty Using AI Players
This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience.
Automating Generative Deep Learning for Artistic Purposes: Challenges and Opportunities
The framework provides opportunities to hand over creative responsibilities to a generative system as targets for automation.
Embodiment and Computational Creativity
We conjecture that creativity and the perception of creativity are, at least to some extent, shaped by embodiment.
Generative Design in Minecraft: Chronicle Challenge
We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft.
Expanding the Active Inference Landscape: More Intrinsic Motivations in the Perception-Action Loop
Research on intrinsic motivations may profit from an additional way to implement intrinsically motivated agents that also share the biological plausibility of active inference.
New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation
Creating Non-Player Characters (NPCs) that can react robustly to unforeseen player behaviour or novel game content is difficult and time-consuming.
Accelerating Empowerment Computation with UCT Tree Search
Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards.
Modelling serendipity in a computational context
We conclude that it is feasible to equip computational systems with the potential for serendipity, and that this could be beneficial in varied computational creativity/AI applications, particularly those designed to operate responsively in real-world contexts.
